Report Detail
Machine Learning Chip Market By Type (GPU, Neuromorphic chip, Flash based chip), By Application (Consumer electronics, Automotive, Healthcare, Robotics industry ), Industry Trends, Estimation & Forecast, 2016 - 2024
- RnM3857140 |
- 23 December, 2019 |
- Global |
- 111 Pages |
- Esticast Research & Consulting |
- Other
“Machine Learning Chip Market” 2018-2026 report is a professional study on the current state of the market that focuses on the major drivers, challenges, opportunities for the leading players. The research report also offers a granular analysis of various definitions, and classification of the industry, applications of the industry, regional breakdown, opportunities, challenges, and chain structure.
About Machine Learning Chip Market
Machine Learning Chip Market was valued at $4.9 billion in 2016, and is projected to reach $10.3 billion by 2024, having a CAGR of 9.8% during the forecast period of 2017 to 2024. Machine learning chip is a multiprocessor system which is capable of learning, reasoning, and self-correction of its algorithm without any external programming. With the human-like intelligence, these chips are having brilliant features of detecting patterns of a new data and regulate the program actions accordingly. These chips provide constant development and updating of applications by the exposure of new scenarios, adaptations and testing, without any kind of change in the hardware.
Market Summary:
The Machine Learning Chip market is a comprehensive report which offers a meticulous overview of the market share, size, trends, demand, product analysis, application analysis, regional outlook, competitive strategies, forecasts, and strategies impacting the Machine Learning Chip Industry. The report includes a detailed analysis of the market competitive landscape, with the help of detailed business profiles, SWOT analysis, project feasibility analysis, and several other details about the key companies operating in the market.
The study on the worldwide Machine Learning Chip market strives to offer substantial and profound insights into the current market scenario and the developing growth dynamics. Moreover, the report also provides the market players along with the new contenders a complete view of the market landscape. The inclusive research will enable the well-established as well as the entry-level players to establish their business strategies and accomplish their short-term and long-term goals.
Scope and Segmentation of the Report
The segment analysis is one of the significant sections of this report. Our expert analyst has categorized the market into product type, application/end-user, and geography. All the segments are analyzed based on their market share, growth rate, and growth potential. In the geographical classification, the report highlights the regional markets having high growth potential. This thorough evaluation of the segments would help the players to focus on revenue-generating areas of the Machine Learning Chip market.
Based on Type
GPU
Neuromorphic chip
Flash-based chip
Based on Application
Consumer electronics
Automotive
Healthcare
Robotics industry
Others
Regional Analysis
Our analysts are experts in covering all types of geographical markets from developing to mature ones. You can expect a comprehensive research analysis of key regional and country-level markets such as Europe, North America, South America, Asia-Pacific, and the Middle East & Africa. With accurate statistical patterns and regional classification, our domain experts provide you one of the most detailed and easily understandable regional analyses of the Machine Learning Chip market.
Competitive Landscape:
The research report also studied the key players operating in the Machine Learning Chip market. It has evaluated and explained the research & development stages of these companies, their financial performances, and their expansion plans for the coming years. Moreover, the research report also includes the list of planned initiatives that clearly explain the accomplishments of the companies in the recent past.
Company Coverage (Sales Revenue, Price, Gross Margin, Main Products, etc.):
Advanced Micro Devices Inc.
Google Inc.
Graphcore
Intel Corporation
International Business Machines (IBM) Corporation
Nvidia Corporation
Qualcomm Technologies Inc.
Taiwan Semiconductor
Wave Computing and XILINX Inc.
Manufacturing Company Ltd
Research Methodology
The research methodology of the market is based on both primary as well as secondary research data sources. It compels different factors affecting the Machine Learning Chip industry such as historical data and market trends, different policies of the government, market environment, market risk factors, market restraints, technological advancements, forthcoming innovations, and obstacles in the industry.
The content of the study subjects includes a total of 8 chapters:
Chapter 1, describe the Machine Learning Chip market report’s – executive summary, market definition, and market scope. Moreover, the report helps in picking up the crucial information about the said market.
Chapter 2, defines the Research Methodology including primary research, assumptions & exclusions, and secondary data sources. The report follows the simultaneous top-down and bottom approach to provide you the accurate market sizing.
Chapter 3, explains the report segmentation & scope, key market trends (drivers, restraints, and opportunities), along with Porter’s five forces analysis and market share analysis
Chapter 4: It helps in understanding the key product segments and their future of the Machine Learning Chip Market. It provides strategic recommendations in key business segments based on the market estimations.
Chapters 5, and 6 to segment the sales by type and application/end-user, with sales market share and growth rate by type, application/end-user, from 2018 to 2016. Our team of Analysts and experts dedicatedly put their effort to provide you the best possible and accurate segmentation data and analysis.
Chapter 7, describes the regional segmentation based on the country level for the forecast period 2018 – 2026. The research report not only provide the market data of the five geographies but also provide the qualitative as well we qualitative information on country level bifurcation.
Chapter 8, to profile the top manufacturers of Machine Learning Chip, with price, sales, revenue and market share of Machine Learning Chip in 2016, 2017, and 2018. Players are expected to sign acquisition and collaboration deals to expand their products and services portfolio. Such strategic agreements could help them to improve their client base in other countries and gain a competitive advantage
CHAPTER 1. INTRODUCTION
- 1.1. RESEARCH METHODOLOGY
- 1.1.1. ERC desk research
- 1.1.2. ERC data synthesis
- 1.1.3. Data validation and market feedback
- 1.1.4. ERC data sources
- 1.2. RESEARCH SCOPE
CHAPTER 2. MARKET LANDSCAPE
- 2.1. RESEARCH SUMMARY
- 2.2. VALUE CHAIN ANALYSIS
- 2.3. FIVE FORCES ANALYSIS
- 2.4. MARKET PLAYER POSITIONING
- 2.5. DEMAND FORECAST
- 2.6. BUSINESS INTELLIGENCE & STRATEGIC ANALYSIS 20
- 2.7. MARKET DETERMINANTS
- 2.7.1. Drivers
- 2.7.1.1. Rising demand for automated electric devices
- 2.7.1.2. Rising diverse application areas
- 2.7.1.3. Increasing trend of artificial intelligence
- 2.7.2. Restraints
- 2.7.2.1. lack of skills
- 2.7.2.2. High implementation cost and limited level of accuracy
- 2.7.3. Opportunities
- 2.7.3.1. rapid growth in the adoption of Internet of things (IOT)
CHAPTER 3. GLOBAL MACHINE LEARNING CHIP MARKET BY TYPE
- 3.1. SEGMENT OUTLINE
- 3.2. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024
- 3.3. GPU
- 3.3.1. Trend analysis
- 3.3.2. Market growth indicators
- 3.3.3. Global GPU market revenue by region,2016-2024
- 3.4. NEUROMORPHIC CHIP
- 3.4.1. Trend analysis
- 3.4.2. Market growth indicators
- 3.4.3. Global neuromorphic chip market revenue by region,2016-2024
- 3.5. FLASH BASED CHIP
- 3.5.1. Trend analysis
- 3.5.2. Market growth indicators
- 3.5.3. Global flash based chip market revenue by region,2016-2024
- 3.6. FIELD PROGRAMMABLE GATE ARRAY
- 3.6.1. Trend analysis
- 3.6.2. Market growth indicators
- 3.6.3. Global field programmable gate array market revenue by region,2016-2024
CHAPTER 4. GLOBAL MACHINE LEARNING CHIP MARKET BY APPLICATION
- 4.1. SEGMENT OUTLINE
- 4.2. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024
- 4.3. CONSUMER ELECTRONICS
- 4.3.1. Trend analysis
- 4.3.2. Market growth indicators
- 4.3.3. Global consumer electronics market revenue by region,2016-2024
- 4.4. AUTOMOTIVE
- 4.4.1. Trend analysis
- 4.4.2. Market growth indicators
- 4.4.3. Globa automotive market revenue by region,2016-2024
- 4.5. HEALTHCARE
- 4.5.1. Trend analysis
- 4.5.2. Market growth indicators
- 4.5.3. Global healthcare market revenue by region,2016-2024
- 4.6. ROBOTICS INDUSTRY
- 4.6.1. Trend analysis
- 4.6.2. Market growth indicators
- 4.6.3. Global robotics industry market revenue by region,2016-2024
- 4.7. OTHER
- 4.7.1. Trend analysis
- 4.7.2. Market growth indicators
- 4.7.3. Global other machine learning chip market revenue by region,2016-2024
CHAPTER 5. GLOBAL MACHINE LEARNING CHIP MARKET BY GEOGRAPHY
- 5.1. SEGMENT OUTLINE
- 5.2. GLOBAL MACHINE LEARNING CHIP MARKET MARKET REVENUE BY GEOGRAPHY,2016-2024
- 5.3. NORTH AMERICA
- 5.3.1. Trend analysis
- 5.3.2. Market growth indicators
- 5.3.3. North America machine learning chip market revenue by type,2016-2024
- 5.3.4. North America machine learning chip market revenue by application,2016-2024
- 5.3.5. North America machine learning chip market revenue by country,2016-2024
- 5.3.6. U.S.
- 5.3.7. Mexico
- 5.3.8. Canada
- 5.4. EUROPE
- 5.4.1. Trend analysis
- 5.4.2. Market growth indicators
- 5.4.3. Europe machine learning chip market revenue by type,2016-2024
- 5.4.4. Europe machine learning chip market revenue by application,2016-2024
- 5.4.5. Europe machine learning chip market revenue by country,2016-2024
- 5.4.6. U.K.
- 5.4.7. Germany
- 5.4.8. France
- 5.4.9. Rest Of Europe
- 5.5. ASIA-PACIFIC
- 5.5.1. Trend analysis
- 5.5.2. Market growth indicators
- 5.5.3. APAC machine learning chip market revenue by type,2016-2024
- 5.5.4. APAC machine learning chip market revenue by application,2016-2024
- 5.5.5. APAC machine learning chip market revenue by country,2016-2024
- 5.5.6. China
- 5.5.7. Japan
- 5.5.8. India
- 5.5.9. South Korea
- 5.5.10. Rest of APAC
- 5.6. REST OF THE WORLD
- 5.6.1. Trend analysis
- 5.6.2. Market growth indicators
- 5.6.3. ROW machine learning chip market revenue by type,2016-2024
- 5.6.4. ROW machine learning chip market revenue by application,2016-2024
- 5.6.5. ROW machine learning chip market revenue by country,2016-2024
- 5.6.6. Latin America
- 5.6.7. Middle East
- 5.6.8. Africa
CHAPTER 6. KEY VENDOR PROFILES
- 6.1. INTEL CORPORATION
- 6.1.1. Company synopsis
- 6.1.2. Company snapshot
- 6.1.3. Business overview
- 6.1.4. Strategic analysis
- 6.2. NVIDIA CORPORATION
- 6.2.1. Company synopsis
- 6.2.2. Company snapshot
- 6.2.3. Business overview
- 6.2.4. Strategic analysis
- 6.3. XILINX INC.
- 6.3.1. Company synopsis
- 6.3.2. Company snapshot
- 6.3.3. Business overview
- 6.3.4. Strategic analysis
- 6.4. GRAPHCORE LTD.
- 6.4.1. Company synopsis
- 6.4.2. Company snapshot
- 6.4.3. Business overview
- 6.4.4. Strategic analysis
- 6.5. QUALCOMM INC.
- 6.5.1. Company synopsis
- 6.5.2. Company snapshot
- 6.5.3. Business overview
- 6.5.4. Strategic analysis
- 6.6. TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LTD.
- 6.6.1. Company synopsis
- 6.6.2. Company snapshot
- 6.6.3. Business overview
- 6.6.4. Strategic analysis
- 6.7. WAVE COMPUTING
- 6.7.1. Company synopsis
- 6.7.2. Company snapshot
- 6.7.3. Business overview
- 6.7.4. Strategic analysis
- 6.8. GOOGLE, INC.
- 6.8.1. Company synopsis
- 6.8.2. Company snapshot
- 6.8.3. Business overview
- 6.8.4. Strategic analysis
- 6.9. ADVANCE MICRODEVICES, INC.
- 6.9.1. Company synopsis
- 6.9.2. Company snapshot
- 6.9.3. Business overview
- 6.9.4. Strategic analysis
- 6.10. INTERNATIONAL BUSINESS MACHINE CORPORATION
- 6.10.1. Company synopsis
- 6.10.2. Company snapshot
- 6.10.3. Business overview
- 6.10.4. Strategic analysis
LIST OF TABLES
TABLE NO 1. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
TABLE NO 2. GLOBAL GPU MARKET REVENUE BY REGION,2016-2024($MILLION)
TABLE NO 3. GLOBAL NEUROMORPHIC CHIP MARKET REVENUE BY REGION,2016-2024($MILLION)
TABLE NO 4. GLOBAL FLASH BASED CHIP MARKET REVENUE BY REGION,2016-2024($MILLION)
TABLE NO 5. GLOBAL FIELD PROGRAMMABLE GATE ARRAY MARKET REVENUE BY REGION,2016-2024($MILLION)
TABLE NO 6. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
TABLE NO 7. GLOBAL CONSUMER ELECTRONICS MARKET REVENUE BY REGION,2016-2024
TABLE NO 8. GLOBAL AUTOMOTIVE MARKET REVENUE BY REGION,2016-2024
TABLE NO 9. GLOBAL HEALTHCARE MARKET REVENUE BY REGION,2016-2024
TABLE NO 10. GLOBAL ROBOTICS INDUSTRY MARKET REVENUE BY REGION,2016-2024
TABLE NO 11. GLOBAL OTHER MACHINE LEARNING CHIP MARKET REVENUE BY REGION,2016-2024
TABLE NO 12. GLOBAL MACHINE LEARNING CHIP MARKET MARKET REVENUE BY GEOGRAPHY,2016-2024($MILLION)
TABLE NO 13. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
TABLE NO 14. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
TABLE NO 15. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
TABLE NO 16. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
TABLE NO 17. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
TABLE NO 18. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
TABLE NO 19. APAC MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
TABLE NO 20. APAC MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
TABLE NO 21. APAC MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
TABLE NO 22. ROW MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
TABLE NO 23. ROW MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
TABLE NO 24. ROW MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
LIST OF FIGURES
FIGURE NO 1. VALUE CHAIN ANALYSIS
FIGURE NO 2. FIVE FORCES ANALYSIS
FIGURE NO 3. MARKET PLAYER POSITIONING
FIGURE NO 4. INVESTMENT OPPORTUNITIES
FIGURE NO 5. KEY STRATEGIC ATTEMPTS (%SHARE)
FIGURE NO 6. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
FIGURE NO 7. GLOBAL GPU MARKET REVENUE BY REGION,2016-2024($MILLION)
FIGURE NO 8. GLOBAL NEUROMORPHIC CHIP MARKET REVENUE BY REGION,2016-2024($MILLION)
FIGURE NO 9. GLOBAL FLASH BASED CHIP MARKET REVENUE BY REGION,2016-2024($MILLION)
FIGURE NO 10. GLOBAL FIELD PROGRAMMABLE GATE ARRAY MARKET REVENUE BY REGION,2016-2024($MILLION)
FIGURE NO 11. GLOBAL MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
FIGURE NO 12. GLOBAL CONSUMER ELECTRONICS MARKET REVENUE BY REGION,2016-2024
FIGURE NO 13. GLOBAL AUTOMOTIVE MARKET REVENUE BY REGION,2016-2024
FIGURE NO 14. GLOBAL HEALTHCARE MARKET REVENUE BY REGION,2016-2024
FIGURE NO 15. GLOBAL ROBOTICS INDUSTRY MARKET REVENUE BY REGION,2016-2024
FIGURE NO 16. GLOBAL OTHER MACHINE LEARNING CHIP MARKET REVENUE BY REGION,2016-2024
FIGURE NO 17. GLOBAL MACHINE LEARNING CHIP MARKET MARKET REVENUE BY GEOGRAPHY,2016-2024($MILLION)
FIGURE NO 18. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
FIGURE NO 19. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
FIGURE NO 20. NORTH AMERICA MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
FIGURE NO 21. U.S. MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 22. MEXICO MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 23. CANADA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 24. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
FIGURE NO 25. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
FIGURE NO 26. EUROPE MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
FIGURE NO 27. U.K. MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 28. GERMANY MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 29. FRANCE MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 30. REST OF EUROPE MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 31. APAC MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
FIGURE NO 32. APAC MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
FIGURE NO 33. APAC MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
FIGURE NO 34. CHINA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 35. JAPAN MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 36. INDIA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 37. SOUTH KOREA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 38. REST OF APAC MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 39. ROW MACHINE LEARNING CHIP MARKET REVENUE BY TYPE,2016-2024($MILLION)
FIGURE NO 40. ROW MACHINE LEARNING CHIP MARKET REVENUE BY APPLICATION,2016-2024($MILLION)
FIGURE NO 41. ROW MACHINE LEARNING CHIP MARKET REVENUE BY COUNTRY,2016-2024($MILLION)
FIGURE NO 42. LATIN AMERICA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 43. MIDDLE EAST MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
FIGURE NO 44. AFRICA MACHINE LEARNING CHIP MARKET REVENUE,2016-2024($MILLION)
- 2.7.1. Drivers
Summary:
Get latest Market Research Reports on Machine Learning Chip . Industry analysis & Market Report on Machine Learning Chip is a syndicated market report, published as Machine Learning Chip Market By Type (GPU, Neuromorphic chip, Flash based chip), By Application (Consumer electronics, Automotive, Healthcare, Robotics industry ), Industry Trends, Estimation & Forecast, 2016 - 2024. It is complete Research Study and Industry Analysis of Machine Learning Chip market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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